5381 papers
Hep-Ph explores the fundamental forces that govern how particles interact and behave at the smallest scales imaginable. This field bridges the gap between theoretical predictions and experimental reality, helping scientists understand the building blocks of our universe without getting lost in complex mathematics. Whether investigating the Higgs boson or searching for new physics beyond current models, these studies push the boundaries of human knowledge about matter and energy.
At Gist.Science, we process every new preprint in this category as soon as it appears on arXiv. We strip away the dense jargon to offer both accessible plain-language explanations and detailed technical summaries, ensuring that groundbreaking research is understandable to everyone from students to seasoned experts. Below are the latest papers in this dynamic field, ready for you to explore with clarity and depth.
This paper introduces a partial-wave basis for five-point tree amplitudes of identical scalars to derive splitting constraints that, at low mass levels, uniquely determine five-point data from four-point coefficients and manifest hidden zeros, while revealing that higher-spin exchanges necessitate additional input for complete rigidity.
This paper investigates bound states within the Lee model of complex ghosts using canonical operator formalism, demonstrating that such states can be formed despite nontrivial complex delta functions, and briefly discusses the implications for restoring unitarity in quadratic gravity.
This paper investigates dynamical mass generation for fermions with and without bare mass in two-dimensional space-time coupled to a massive vector field using Schwinger-Dyson equations, revealing that purely dynamical masses originating from different bare masses converge at a specific coupling constant where a duality relation is satisfied.
This study demonstrates that dark matter spikes around supermassive black holes, such as at the Galactic Center, remain largely intact against gravitational perturbations from nuclear stars and past stellar-mass black hole mergers, with density reductions being negligible at the small radii relevant for gravitational wave signal generation.
This paper proposes a conformal prediction-based calibration layer that transforms uncalibrated machine-learning anomaly scores into statistically rigorous, distribution-free local and global p-values, effectively correcting for background mismodeling and the look-elsewhere effect to prevent false discoveries in new-physics searches.
This review examines how quantum anomalies and vacuum topology in QCD resolve the problem and generate hadron mass, while connecting these nonperturbative dynamics to modern studies of nucleon spin structure and partonic observables.
This paper employs a model-independent Effective Field Theory to demonstrate that sizable deviations in Higgs cubic and quartic couplings can drive a strong first-order phase transition, potentially generating detectable gravitational waves and primordial magnetic fields while highlighting the complementary roles of future collider searches and GW experiments in probing new physics scales up to 11 TeV.
This paper proposes a pipeline to connect DUNE-motivated signals in the Standard Model Effective Field Theory (SMEFT) to specific ultraviolet completions with extra isosinglet and/or isodoublet fields, finding that current flavor constraints limit the viable Wilson coefficient for lepton-flavour-violating semileptonic interactions to approximately one order of magnitude below the DUNE benchmark.
This paper demonstrates that combining NOvA's ten-year data with anticipated precise measurements of from the upcoming JUNO experiment could enable the determination of the neutrino mass ordering with significance within the next five years.
This paper presents the first study demonstrating that the proposed nuSCOPE facility's tagged neutrino beamline offers a novel, high-precision approach to short-baseline oscillation searches, significantly improving sensitivity to sterile neutrinos across multiple channels while substantially reducing reliance on flux predictions.